U.S. patent application number 15/943918 was filed with the patent office on 2018-10-04 for device for tracking, monitoring and analyzing biophysical-activities of users.
The applicant listed for this patent is CU Labs, Inc.. Invention is credited to Anal PATEL, Keyur PATEL, Susanto PURNAMA.
Application Number | 20180279920 15/943918 |
Document ID | / |
Family ID | 63671938 |
Filed Date | 2018-10-04 |
United States Patent
Application |
20180279920 |
Kind Code |
A1 |
PATEL; Anal ; et
al. |
October 4, 2018 |
Device for tracking, monitoring and analyzing
Biophysical-activities of users
Abstract
The present disclosure envisages a device for tracking,
monitoring and analyzing biophysical-activities of a user. The
device includes a motion and activity sensing unit to sense and
track motion, direction and acceleration of the
biophysical-activities and generate a plurality of motion and
activity related signals, a biosensor unit to sense and track a
plurality of health parameters and generate a plurality of health
related signals, a bio-mechanical tracking unit to sense a
plurality of activity parameters including speed, count, axis,
direction and position, and generate a plurality of bio-mechanical
related signals, a signal conditioning unit to generate conditioned
health data and conditioned bio-mechanical data based on the
plurality of motion and activity related signals.
Inventors: |
PATEL; Anal; (Mountain View,
CA) ; PURNAMA; Susanto; (Mountain View, CA) ;
PATEL; Keyur; (Mountain View, CA) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
CU Labs, Inc. |
Mountain View |
CA |
US |
|
|
Family ID: |
63671938 |
Appl. No.: |
15/943918 |
Filed: |
April 3, 2018 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
|
|
62480669 |
Apr 3, 2017 |
|
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|
Current U.S.
Class: |
1/1 |
Current CPC
Class: |
A61B 5/7495 20130101;
A61B 5/1118 20130101; A61B 2562/0219 20130101; A61B 2503/12
20130101; A61B 5/749 20130101; A63B 24/0062 20130101; A61B 5/6802
20130101; A63B 5/20 20130101 |
International
Class: |
A61B 5/11 20060101
A61B005/11; A61B 5/00 20060101 A61B005/00; A63B 24/00 20060101
A63B024/00 |
Claims
1. A device (100) for tracking, monitoring and analyzing
biophysical-activities of a user, said device (100) comprising: a
processing unit (102) having at least one processor (105)
configured to receive predetermined set of rules from a rules
repository (110) and further configured to generate processing
commands sequentially; a motion and activity sensing unit (120)
configured to sense and track motion, direction and acceleration of
the biophysical-activities performed by the user and further
configured to generate a plurality of motion and activity related
signals; a biosensor unit (125) configured to sense and track a
plurality of health parameters of the user while performing the
biophysical-activities and further configured to generate a
plurality of health related signals; a bio-mechanical tracking unit
(130) configured to sense a plurality of activity parameters
including speed, count, axis, direction and position, and further
configured to generate a plurality of bio-mechanical related
signals based on said sensed activity parameters; and a signal
conditioning unit (135) cooperates with said motion and activity
sensing unit (120), said biosensor unit (125), and said
bio-mechanical tracking unit (130) to receive said plurality of
motion and activity related signals, said plurality of health
related signals and said plurality of bio-mechanical related
signals respectively, characterized in that said signal
conditioning unit (135) is configured to, under the processing
commands, generates conditioned health data and conditioned
bio-mechanical data based on said plurality of motion and activity
related signals.
2. The device (100) as claimed in claim 1, wherein said device
(100) is communicatively coupled to a remote unit (150), said
remote unit (150) configured to receive and display said
conditioned health data and conditioned bio-mechanical data of the
performed biophysical-activity of the user.
3. The device (100) as claimed in claim 1, wherein said motion and
activity sensing unit (120) comprises an accelerometer and a
gyroscope configured to sense and track the motion, direction and
acceleration of the biophysical-activities performed by said
user.
4. The device (100) as claimed in claim 1, wherein said biosensor
unit (125) comprises a plurality of sensors (250) integrated with
each other, configured to sense and track health parameters of said
user while performing the biophysical-activity.
5. The device (100) as claimed in claim 1, wherein said processing
unit (102) further comprises a data repository (115) configured to
store and periodically update said conditioned health data and
conditioned bio-mechanical data of biophysical-activities performed
by the user.
6. The device (100) as claimed in claim 1, which includes a gesture
control unit (140), configured to detect gestures of the user while
performing the biophysical-activities and correspondingly generate
a plurality of gesture signals.
7. The device (100) as claimed in claim 6, wherein said gesture
control unit (140) is adapted to cooperate with said signal
conditioning unit (135) to receive said plurality of gesture
signals and generate conditioned gesture data.
8. The device (100) as claimed in claim 6, wherein said gesture
control unit (140) includes at least one proximity sensor.
9. The device (100) as claimed in claim 1, wherein said processing
unit (102) further comprises: a wireless transceiver unit
configured to receive and transmit said conditioned health data and
said conditioned bio-mechanical data associated with the user; and
a memory configured to store a pre-determined set of threshold
ranges of health and bio-mechanical data associated with the
user.
10. The device (100) as claimed in claim 1, wherein said at least
one processor (105) is selected from the group consisting of an
application specific integration circuit (ASIC), an Integrated
Circuit based processor, a PIC controller, and combination
thereof.
11. The device (100) as claimed in claim 1, which further comprises
a power management module configured to regulate the supply and
distribution of power to said device (100).
12. The device (100) as claimed in claim 2, wherein said remote
unit is a multi-mode notification module with one or more
notification/display units.
13. The device (100) as claimed in claim 1, wherein said at least
one processor (105) includes an audio processor.
14. The device (100) as claimed in claim 1, which further comprises
a microphone configured to receive verbal instructions from the
user and further configured to, under the processing commands,
generate, transmit and implement verbal instruction signals.
15. The device (100) as claimed in claim 1, which further comprises
a speaker for playing music or for providing notifications or
instruction cues with respect to the biophysical-activities
performed by the user.
16. The device (100) as claimed in claim 1, which further comprises
a connectivity interface configured to facilitate recharging of
said device (100) and further configured to connect said device
(100) with electronic appliances.
17. The device (100) as claimed in claim 1, wherein the biosensor
unit (125) includes a touch ID sensor configured to facilitate user
sign-in by comparing fingerprints of the user with stored
fingerprints.
18. The device (100) as claimed in claim 17, wherein the data
repository (115) is further configured to store fingerprints of the
user.
Description
PRIORITY INFORMATION
[0001] This application claims priority to U.S. Provisional
Application No. 62/480,669 filed on Apr. 3, 2017, the contents of
which are hereby incorporated by reference in their entirety.
TECHNICAL FIELD
[0002] The present disclosure relates to devices for monitoring and
analysis of health, fitness, and performance of users.
BACKGROUND
[0003] The body weight of an individual is a general indication of
an individual's health. To this end, devices like body weighing
scales are normally used to measure one's body weight. However,
body weight alone is insufficient to allow the individual to gauge
his/her fitness and performance. A measure of body fat and
biophysical-activity level provides a better assessment of the
individual's fitness and also helps the individual to track his/her
progress towards achieving fitness and performance goals.
Biophysical-activities of a user can be defined as limb movements
and body functions during skipping, dancing, free-play, aerobics,
rhythmic gymnastics, tai-chi, eurythmy, or in any body flow motion,
which are characterized on the basis of grace, rhythm, flow,
strength and synchrony.
[0004] Conventionally, a number of wearable accessories have been
developed in the art which are configured to be worn as bracelets,
anklets, and the like. These accessories have sensors which track
the heart rate, blood pressure, and other related parameters
associated with the fitness of a user. While these accessories do
provide measurement of the aforementioned parameters, they are only
effective for fitness tracking when the user is particularly
involved in fitness activities like jogging, weight training, and
the like. These accessories however fail to provide user with
monitoring of health/biorhythms or tracking of the movement of body
parts, especially the hands, when the user is involved in fitness
and performance activities like dancing, aerobics, rhythmic
gymnastics, swimming etc. Further, consistently monitoring and
recording measured information pertaining to these parameters may
be difficult and time consuming for users, especially when the
users are using manual means to record relevant data.
[0005] Hence, there is felt a need to develop a smart device, for
tracking, monitoring and analyzing biophysical-activities of a
user, which largely eliminates the aforementioned drawbacks and
facilitate health, performance and monitoring.
OBJECTS
[0006] Some of the objects of the present disclosure are aimed to
ameliorate one or more problems of the prior art or to at least
provide a useful alternative and are listed herein below.
[0007] An object of the present disclosure is to provide a device
for tracking, monitoring and analyzing biophysical-activities of a
user.
[0008] Another object of the present disclosure is to provide a
device that facilitates real-time analysis and data transmission of
fitness, performance activities and human health parameters.
[0009] Yet another object of the present disclosure is to provide a
device that integrates the signals from a plurality of sensors.
[0010] Yet another object of the present disclosure is to provide a
device that is easy to use and can be attached to any wearable
accessory.
[0011] Still another object of the present disclosure is to provide
a device which measures and represents accurate results with
respect to health, fitness and performance parameters.
[0012] One another object of the present disclosure is to provide a
device that processes, produces, transmits and represents data with
three unique graphic views.
[0013] Other objects and advantages of the present disclosure will
be more apparent from the following description when read in
conjunction with the accompanying figures, which are not intended
to limit the scope of the present disclosure.
SUMMARY
[0014] The present disclosure envisages a device for tracking,
monitoring and analyzing biophysical-activities of a user, the
device comprising a processing unit, a motion and activity sensing
unit, a biosensor unit, a bio-mechanical tracking unit and a signal
conditioning unit.
[0015] The processing unit includes at least one processor. The
processing unit is configured to receive predetermined set of rules
from a rules repository and is further configured to generate
processing commands sequentially.
[0016] The motion and activity sensing unit is configured to sense
and track motion, direction and acceleration of the
biophysical-activities performed by the user and is further
configured to generate a plurality of motion and activity related
signals.
[0017] The biosensor unit is configured to sense and track a
plurality of health parameters of the user while performing the
biophysical-activities and is further configured to generate a
plurality of health related signals.
[0018] The bio-mechanical tracking unit is configured to sense a
plurality of activity parameters including speed, count, axis,
direction and position, and is further configured to generate a
plurality of bio-mechanical related signals based on the sensed
activity parameters.
[0019] The signal conditioning unit co-operates with the motion and
activity sensing unit, the biosensor unit and the bio-mechanical
tracking unit to receive the plurality of motion and activity
related signals, the plurality of health related signals and the
plurality of bio-mechanical related signals respectively. The
signal conditioning unit is configured to generate conditioned
health data and conditioned bio-mechanical data based on the
plurality of motion and activity related signals.
[0020] In an embodiment, the device is communicatively coupled to a
remote unit. The remote unit is configured to receive and display
the conditioned health data and conditioned bio-mechanical data of
the performed biophysical-activity of the user.
[0021] In an embodiment, the motion and activity sensing unit
comprises an accelerometer and a gyroscope configured to sense and
track the motion, direction and acceleration of the
biophysical-activities performed by the user.
[0022] In an embodiment, the biosensor unit comprises a plurality
of sensors integrated with each other, configured to sense and
track health parameters of the user while performing the
biophysical-activity.
[0023] In an embodiment, the processing unit comprises a data
repository. The data repository is configured to store and
periodically update the conditioned health data and conditioned
bio-mechanical data of biophysical-activities performed by the
user.
[0024] In an embodiment, the device includes a gesture control
unit. The gesture control unit is configured to detect gestures of
the user while performing the biophysical-activities and
correspondingly generate a plurality of gesture signals.
[0025] In an embodiment, the gesture control unit is adapted to
cooperate with the signal conditioning unit to receive the
plurality of gesture signals and generate conditioned gesture
data.
[0026] In an embodiment, the gesture control unit includes at least
one proximity sensor.
[0027] In an embodiment, the processing unit further comprises a
wireless transceiver unit and a memory. The wireless transceiver
unit is configured to receive and transmit the conditioned health
data and the conditioned bio-mechanical data associated with the
user. The memory is configured to store a pre-determined set of
threshold ranges of health and bio-mechanical data associated with
the user.
[0028] In an embodiment, the processor is selected from the group
consisting of an application specific integration circuit (ASIC),
an Integrated Circuit based processor, a PIC controller, and
combination thereof.
[0029] In an embodiment, the device further comprises a power
management module. The power management module is configured to
regulate the supply and distribution of power to the device.
[0030] In an embodiment, the remote unit is a multi-mode
notification module with one or more notification/display
units.
[0031] In an embodiment, the processor includes an audio
processor.
[0032] In an embodiment, the processor further comprises a
microphone.
[0033] The microphone is configured to receive verbal instructions
from the user and is further configured to, under processing
commands, generate, transmit and implement verbal instruction
signals.
[0034] In an embodiment, the device further comprises a speaker for
playing music or for providing notifications or instruction cues
with respect to the biophysical-activities performed by the
user.
[0035] In an embodiment, the device further comprises a
connectivity interface. The connectivity interface is configured to
facilitate recharging of the device and is further configured to
connect the device with electronic appliances.
[0036] In an embodiment, the biosensor unit includes a touch ID
sensor. The touch ID sensor is configured to facilitate user
sign-in by comparing fingerprints of the user with stored
fingerprints.
[0037] In an embodiment, the data repository is further configured
to store fingerprints of the user.
BRIEF DESCRIPTION OF ACCOMPANYING DRAWING
[0038] A device of the present disclosure will now be described
with the help of the accompanying drawing, in which:
[0039] FIG. 1 illustrates a block diagram depicting the device, in
accordance with an embodiment of the present disclosure; and
[0040] FIG. 2 illustrates an accessory integrated with the device,
in accordance with an exemplary and preferred embodiment of the
present disclosure.
LIST AND DETAILS OF REFERENCE NUMERALS USED IN THE DESCRIPTION AND
DRAWING:
TABLE-US-00001 [0041] Reference numeral References associated with
reference numeral 100 Device 105 Processor 110 Rules Repository 115
Data Repository 120 Motion and Activity Sensing Unit 125 Biosensor
unit 130 Bio-mechanical Tracking Unit 135 Signal Conditioning Unit
140 Gesture Control Unit 150 Remote unit 200 Accessory 250 A
plurality of sensors
DETAILED DESCRIPTION
[0042] The body weight of an individual is a general indication of
an individual's health. To this end, devices like body weighing
scales are normally used to measure one's body weight. However,
body weight alone is insufficient to allow the individual to gauge
his/her fitness and performance. A measure of body fat and
biophysical-activity level provides a better assessment of the
individual's fitness and also helps the individual to track his/her
progress towards achieving fitness and performance goals.
Biophysical-activities of a user can be defined as limb movements
and body functions during, dancing, free-play, aerobics, rhythmic
gymnastics, tai-chi, eurythmy, or in any body flow motion, which
are characterized on the basis of grace, rhythm, flow, strength and
synchrony.
[0043] Conventionally, a number of wearable accessories have been
developed in the art which are configured to be worn as bracelets,
anklets, and the like. These accessories have sensors which track
the heart rate, blood pressure, and other related parameters
associated with the fitness of a user. While these accessories do
provide measurement of the aforementioned parameters, they are only
effective for fitness tracking when the user is particularly
involved in fitness activities like jogging, weight training, and
the like. These accessories however fail to provide user with
monitoring of health/biorhythms or tracking of the movement of body
parts, especially the hands, when the user is involved in fitness
and performance activities like dancing, aerobics, rhythmic
gymnastics, swimming, etc. Further, consistently monitoring and
recording measured information pertaining to these parameters may
be difficult and time consuming for users, especially when the
users are using manual means to record relevant data.
[0044] In subsequent paragraphs, the present disclosure envisages a
device for tracking, monitoring and analyzing
biophysical-activities of a user, which alleviates the
aforementioned drawbacks. The device, in accordance with an
embodiment of the present disclosure will now be described with
reference to the embodiments, which do not limit the scope and
ambit of the disclosure. The description of the device is provided
purely by way of example and illustration. The present disclosure
has been described herein below with reference to FIG. 1 and FIG.
2. FIG. 1 illustrates a block diagram depicting a device 100, in
accordance with an embodiment of the present disclosure. FIG. 2
illustrates an accessory 200 in the form of a skipping rope,
integrated with a device 100, in accordance with an exemplary and
preferred embodiment of the present disclosure. The solid lines in
the FIG. 1 indicate transmission of signals/processing commands and
the dotted lines indicate transfer of data/information.
[0045] The present disclosure discloses a device 100 for tracking,
monitoring and analyzing biophysical-activities performed by users.
Typically, the device 100 is a fitness and performance measurement
device which measures real-time motion, direction and acceleration
data generated by any biophysical-activity performed by the user
including, but not limited to, limb movements during dancing,
free-play, aerobics, rhythmic gymnastics, tai-chi, eurythmy, or any
other body flow motion, and thereby reducing or eliminating any
human intervention during tracking, monitoring and analyzing of
such biophysical-activities performed by users. The device 100 is
configured to track, monitor and analyze fitness and the
performance of a user on the basis of grace, rhythm, flow, strength
and synchrony.
[0046] The working of the device 100 is described herein with
reference to FIG. 1, in accordance with an embodiment of the
present disclosure.
[0047] The device 100 may comprise a processing unit 102, a motion
and activity sensing unit 120, a biosensor unit 125, a
bio-mechanical tracking unit 130, and a signal conditioning unit
135. The fitness and performance measurement device 100 may also
involve a remote unit 150 which is configured to be communicatively
coupled to the device 100. In an embodiment, the device 100 is part
of or attached to an accessory 200 as shown in FIG. 2. The
accessory can be a rope, and wearable accessories like tie,
ribbons, scarves, garments or any other custom artistic expression
to which the device 100 is attached.
[0048] In a preferred embodiment, the device 100 requires a user to
hold the device 100 in his/her hand or wear the accessory 200 to
which the device 100 is attached. The housing of the device 100 is
typically of a polymeric material such as poly-carbonate or natural
or synthetic wood such as PlanWood.TM.. In an embodiment, the
device 100 is rubber coated for better gripping. In an embodiment,
the device 100 is provided with water/heat transfer print finish.
In an embodiment, some portion of the device 100 may be made of
other material such as metal, cotton, and wool.
[0049] The processor 105 of the device 100 is configured to receive
pre-determined set of rules from a rules repository 110 and is
further configured to generate processing commands sequentially
that guides the functioning of the device 100. For example, the
rules repository 110 may have rules as per which the processes of
the device 100 will work.
[0050] In one embodiment, the device 100 is in the form of a handle
which can be held by a user performing biophysical-activities. In a
preferred embodiment, the device 100 has built in it the processing
unit 102 having at least one processor 105, the rules repository
110, and a data repository 115.
[0051] In an embodiment, the data repository 115 of the processing
unit 102 is configured to store predetermined conditioned health
data and conditioned bio-mechanical data of biophysical-activities
of a user. In another embodiment, the device 100 may further
comprise an updater, which under processing commands generated by
the processor 105, updates or edits data stored in the data
repository 115 in accordance with data received from the device 100
during or after the user performs a biophysical-activity, initially
in the training phase and subsequently in the dynamic learning
phase of the device 100. The initial training phase and the dynamic
learning phase of the device ensure that the device 100 is
continuously improving organically.
[0052] The motion and activity sensing unit 120 of the device 100
is configured to sense and track motion, direction and acceleration
of the biophysical-activities performed by a user in real-time. The
motion and activity sensing unit 120 is further configured to
generate a plurality of motion and activity signals based on the
sensed and tracked motion, direction and acceleration. In an
embodiment, the device 100 comprises an accelerometer and a
gyroscope configured to sense and track motion, direction and
acceleration of the biophysical-activities performed by a user
respectively. The motion and activity sensing unit 120 tracks,
monitors and analyzes real-time motions activity and intensity on
the basis of a predefined algorithm.
[0053] In an embodiment, the motion and activity sensing unit 120
can also facilitate 3D motion tracking and later may communicate
with the processing unit 102 and the remote unit 150 to display
such tracking and analysis in the form of graphical
representations. In another embodiment, the motion and activity
sensing unit 120 is configured to provide video and overlay
performance data graphing. In yet another embodiment, the motion
and activity sensing unit 120 also assists in the learning of the
device 100 so as to make recommendations for fitness and
performance parameters such as motion, pace, rhythm, speed,
synchrony, routine and the like.
[0054] The biosensor unit 125 of the device 100 is configured to
sense and track a plurality of health parameters of the user while
performing the biophysical-activities. The biosensor unit 125 is
further configured to generate a plurality of health related
signals based on the sensed and tracked plurality of health
parameters. In an embodiment, the biosensor unit 125 comprises a
plurality of sensors 250 to sense and track health parameters
including, but not limited to, heart rate and pulse rate, heart and
pulse rhythm, variability in heart and pulse rhythm, heart rate and
pulse rate, perspiration level for hydration/dehydration, body
temperature, SPO2 (peripheral capillary oxygen saturation level),
VO2 (Maximum Oxygen Consumption), blood pressure, blood glucose
level, galvanic skin response, respiration rate, UV exposure and
serum Vitamin D level, blood lactate, hormone levels in
perspiration (sweat) and the like, of the user while performing the
biophysical-activity. In an embodiment, the biosensor unit 125
includes a touch ID sensor. The touch ID sensor is configured to
facilitate user(s) sign-in by comparing the fingerprint of the
user(s) with stored fingerprints of the user(s). In an embodiment,
the fingerprints of the user are stored in the data repository 115.
The touch ID sensor helps in configuring the device (100) based on
the identified user.
[0055] In an embodiment, the plurality of sensors 250 is externally
mounted on the device 100 by means of a bead placed at the bottom
of the device and tassels.
[0056] The bio-mechanical tracking unit 130 of the device 100 may
be configured to sense and track a plurality of activity related
parameters including speed, count, acceleration, axis, and
position, and is further configured to generate a plurality of
bio-mechanical signals based on the sensed and tracked plurality of
activity parameters.
[0057] The signal conditioning unit 135 of the device 100 is
configured to co-operate with the motion and activity sensing unit
120, the biosensor unit 125, and the bio-mechanical tracking unit
130 to receive a plurality of motion and activity related signals,
a plurality of health related signals and a plurality of
bio-mechanical related signals respectively. The signal
conditioning unit 135 is further configured to, under processing
commands, generate conditioned health data and conditioned
bio-mechanical data based on the plurality of motion and activity
related signals.
[0058] In an embodiment, the generated conditioned health data and
conditioned bio-mechanical data of the user while performing the
biophysical-activities is stored and periodically updated in the
data repository 115 of the device 100. In another embodiment, the
device 100 further comprises a health parametric learning engine
that can continuously analyze the health parameters of a user and
keep the device 100 updated with the user's health data.
[0059] The remote unit 150 is communicatively coupled to the device
100. In an embodiment of the present disclosure, the remote unit
150 is configured to receive, analyze and display conditioned
health data and conditioned bio-mechanical data of the performed
biophysical-activity to a user by means of a display unit.
[0060] The device 100 may further include a gesture control unit
140 which is configured to detect gestures of the user while
performing the biophysical-activities and generate a plurality of
gesture related signals based on the detected gestures. In an
embodiment, the gesture control unit 140 is adapted to cooperate
with the signal conditioning unit 135 such that the signal
conditioning unit 135 receives the plurality of gesture related
signals and generates conditioned gesture data. In another
embodiment, the gesture control unit 140 includes at least one
proximity sensor.
[0061] In an embodiment of the present disclosure, the processing
unit 102 of the fitness and performance measurement device 100
further comprises: (i) a wireless transceiver unit which is
configured to receive and transmit conditioned health data and
conditioned bio-mechanical data related to a user, and (ii) a
memory which is configured to store a pre-determined set of
threshold ranges of health and bio-mechanical data related to a
user.
[0062] In yet another embodiment, the at least one processor 105 of
the processing unit 102 is selected from the group consisting of an
application specific integration circuit (ASIC), Integrated Circuit
based processor, a PIC controller, and combination thereof.
[0063] The fitness and performance measurement device 100 of the
present disclosure may further comprise a power management module
which can be configured to regulate the supply and distribution of
power to run the fitness and performance measurement device
100.
[0064] In an embodiment, the remote unit 150 is a multi-mode
notification module with one or more notification/display
units.
[0065] In another embodiment, the at least one processor 105
includes an audio processor.
[0066] In still another embodiment, the fitness and performance
measurement device 100 may further comprise a microphone which is
configured to receive verbal instructions from a user and may be
further configured to, under processing commands, generate,
transmit and implement verbal instruction signals.
[0067] In still another embodiment, the fitness and performance
measurement device 100 may further comprise a speaker for playing
music or for providing notifications or instruction cues with
respect to the biophysical-activities performed by the user.
[0068] Further, the fitness and performance measurement device 100
may comprise a connectivity interface to facilitate recharging of
the device 100 and is further configured to connect the device 100
with electronic appliances.
Technical Advancements and Economical Significance
[0069] A device for tracking, monitoring and analyzing
biophysical-activities of users in accordance with the present
disclosure described herein above has several technical and
economic advantages including but not limited to providing a device
that: [0070] provides real-time analysis and data transmission of
fitness and performance activities and human health parameters;
[0071] integrates signals from a plurality of sensors; [0072] is
easy to use and can be attached to any wearable accessory; [0073]
measures and represents accurate results with respect to health,
fitness and performance parameters; and [0074] processes, produces,
transmits and represents data with three unique graphic views.
[0075] Throughout this specification the word "comprise", or
variations such as "comprises" or "comprising", will be understood
to imply the inclusion of a stated element, integer or step, or
group of elements, integers or steps, but not the exclusion of any
other element, integer or step, or group of elements, integers or
steps.
[0076] The use of the expression "at least" or "at least one"
suggests the use of one or more elements or mixtures or quantities,
as the use may be in the embodiment of the disclosure to achieve
one or more of the desired objects or results.
[0077] Any discussion of documents, acts, materials, devices,
accessories or the like that has been included in this
specification is solely for the purpose of providing a context for
the disclosure. It is not to be taken as an admission that any or
all of these matters form part of the prior art base or were common
general knowledge in the field relevant to the disclosure, as it
existed anywhere before the priority date of this application.
[0078] While considerable emphasis has been placed herein on the
specific features of the preferred embodiment, it will be
appreciated that many additional features can be added and that
many changes can be made in the preferred embodiment without
departing from the principles of the disclosure. These and other
changes in the preferred embodiment of the disclosure will be
apparent to those skilled in the art from the disclosure herein,
whereby it is to be distinctly understood that the foregoing
descriptive matter is to be interpreted merely as illustrative of
the disclosure and not as a limitation.
[0079] The embodiments herein and the various features and
advantageous details thereof are explained with reference to the
non-limiting embodiments in the following description. Descriptions
of well-known components and processing techniques are omitted so
as to not unnecessarily obscure the embodiments herein. The
examples used herein are intended merely to facilitate an
understanding of ways in which the embodiments herein may be
practiced and to further enable those of skill in the art to
practice the embodiments herein. Accordingly, the examples should
not be construed as limiting the scope of the embodiments
herein.
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